Bayes' theorem in essence states that the probability of a given hypothesis depends both on the current data and prior knowledge.

Bayes' Theorem has applications in just about every corner of the investing world. It’s not only used to predict the probability of stock price movements.

All you need to know about Bayes' theorem and how it's used to evaluate the probability that financial scenarios will occur.

How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

Reference 2 discusses the application of Bayes’ Theorem to a horse-racing example. In the past, a horse won five out of 12 races, but it had rained heavily before three of the five wins.

Thomas Bayes was an English cleric and mathematician who was interested, among other things, in finding a proof of god. He couldn’t, but he left a treatise and a theorem, which, after it was ...

Although Bayes's theorem demands a prior that is a probability distribution on the parameter space, the calculus associated with Bayes's theorem sometimes generates sensible procedures from improper ...

In statistics, a frequentist interpretation looks only at the simple probability. But Bayes' theorem works with conditional information rather than just looking at a positive result, says Adam Frank.

A while back one of my students, “Frank,” a real smarty-pants, started babbling about something called Bayes’ theorem. He wrote a long, dense paper about the theorem’s revelatory power, which had ...